Open AccessBook
Finite Element Model Updating in Structural Dynamics
Reads0
Chats0
TLDR
A comparison of Numerical Data with Test Results and Iterative Methods Using Modal Data for Model Updating shows that the former is more accurate than the latter.Abstract:
Preface. 1. Introduction. 2. Finite Element Modelling. 3. Vibration Testing. 4. Comparing Numerical Data with Test Results. 5. Estimation Techniques. 6. Parameters for Model Updating. 7. Direct Methods Using Modal Data. 8. Iterative Methods Using Modal Data. 9. Methods Using Frequency Domain Data. 10. Case Study: an Automobile Body M. Brughmans, J. Leuridan, K. Blauwkamp. 11. Discussion and Recommendations. Index.read more
Citations
More filters
Journal ArticleDOI
Influence of model order and number of block rows on accuracy and precision of modal parameter estimates in stochastic subspace identification
TL;DR: In this article, the influence of model order and number of block rows on the accuracy of estimates via stochastic subspace identification (SSI) is investigated, and an approach able to provide narrow error bounds and improve the reliability of SSI-based automated modal identification algorithms is discussed.
Journal ArticleDOI
Robust finite element model updating using Taguchi method
Kye-Si Kwon,Rongming Lin +1 more
TL;DR: In this paper, a model updating technique is presented such that the parameters in an analytical finite element (FE) model can be updated in a robust way in presence of random errors in measured data and systematic errors in the analytical model.
Journal ArticleDOI
Finite element model updating using simulated annealing hybridized with unscented Kalman filter
TL;DR: In this article, a hybrid global optimization algorithm combining simulated annealing (SA) with the unscented Kalman filter (UKF) is proposed for finite element (FE) model updating of civil structures.
Journal ArticleDOI
Off-line control of time-pressure dispensing processes for electronics packaging
TL;DR: In this article, the authors present a method to model the time-pressure dispensing process, taking into account the timedependent fluid behavior, and an off-line control strategy is developed for improving the process performance.
Journal ArticleDOI
A novel load-dependent sensor placement method for model updating based on time-dependent reliability optimization considering multi-source uncertainties
TL;DR: This study proposes a time-dependent, reliability-based method for the optimal load-dependent sensor placement considering multi-source uncertainties using a non-probabilistic theory to characterize the uncertainty in the uncertainty propagation process for model updating.